code: def get_all_reduction_operators():
      """Gets all Reduction operators registered with MXNet.
  
      Returns
      -------
      {"operator_name": {"has_backward", "nd_op_handle", "params"}}
      """
      # Get all mxnet operators
      mx_operators = _get_all_mxnet_operators()
  
      # Filter for Reduction operators
      reduction_mx_operators = {}
      for op_name, op_params in mx_operators.items():
          if (
              op_params["params"]["narg"] == 4
              and set(["data", "axis", "exclude", "keepdims"]).issubset(
                  set(op_params["params"]["arg_names"])
              )
              or op_name == "norm"
          ):
              reduction_mx_operators[op_name] = mx_operators[op_name]
      return reduction_mx_operators
  
imports: from operator import itemgetter
  from mxnet import runtime
  import mxnet
  from benchmark.opperf.rules.default_params import DEFAULTS_INPUTS, DEFAULTS_INPUTS_LARGE_TENSOR, MX_OP_MODULE
label_desc: Use image node_id 12 for calling a global function with example usage: get_all_reduction_operators() and returns: reduction_mx_operators